关键词: 肝母细胞瘤, 生物信息学, 基因芯片, 差异表达基因

Abstract: Objective To screen the differentially expressed genes（DEGs）between hepatoblastoma tissues and normal fetal liver tissues, to explore the mechanism of Hepatoblastoma, and to provide new gene diagnosis and gene therapy methods. Methods Data of hepatoblastoma tissues and the normal controls were extracted from GEO database. The R software RSTUDIO was used to explore the DEGs. DAVID Online （http：// david.ncifcrf.gov/） was used to perform the Gene ontology （GO） analysis. STRING Online （http ：//string-db.org） was used to integrate the protein-protein interaction network. Results A total of 290 DEGs（99 up-regulated genes and 191 down-regulated genes）were identified （P<0.05）. GO analysis indicated that Cell division, Extracellular exosome, as well as Metal ion binding were significantly enriched in up-regulated DEGs. And lipoprotein metabolic process, extracellular exosome, as well as heme binding were enriched in down-regulated DEGs. PPI network identified 12 hub-genes, including IMPDH2、AGXT、ALDH1A1、ALDH2、PFAS、SERPINC1、AGXT2、KNG1、 APOA1 、MAT1A 、APOC3 and HSD17B6. Conclusion With a variety of bioinformatics methods, a series of DEGs between Hepatoblastoma tissues and their normal control were explored. The might functions and expression of these genes in hepatoblastoma tumor were explained in different perspectives, which could provide theoretical basics of gene diagnosis and therapy in hepatoblastoma.

Key words: microarray, bioinformatics analysis, hepatoblastoma, diffrentially expressed genes